What is the primary advantage of using gradient boosting algorithms like XGBoost or LightGBM?
a) They require less computational power compared to other algorithms.
b) They handle missing data more efficiently.
c) They perform well on large-scale datasets.
d) They can handle categorical features without one-hot encoding.
